Collection of Python functions for working with oceanography data processing and analysis.
Maintained by the Oceanography section at the Norwegian Polar Institute.
Supported by the project HiAOOS.
Documentation page (in development)
About the latest release, 0.3.1
:
- This version is used to work out pypi and conda distribution.
- An updated version with improved documentation and a code overhaul is planned for Spring 2025.
In active development.
Conda1:
conda install -c npiocean -c conda-forge kval
Pip:
pip install kval
CORE FUNCTIONALITY
file
: Converting to and from various file format (e.g. read CTD .cnv data to xarray/netCDF)data
: Data post-processing and QC (e.g. CTD post-processing)metadata
: Handling and standardizing metadata according to CF conventionsplots*
: Various tools to help make nice (matplotlib) figuresmaps
: Tools for making mapsgeo
: Geographical calculations (coordinate transformations, point-to-point distances etc)ocean
: Oceanography-specific tools (e.g. (*
) vertical modes, turner angles, wkb scaling, geostrophical calculations)calc
: Various useful functions for numerical calculations.util
: Various backend support functions and wrappers for xarray functionality.signal
: Filtering, spectral analysis, etc.
*
Not implemented
GENERAL PRINCIPLES
Note: These are aspirational guidelines and not always adhered to in the current code structure. We will try to get there!
- Written in Python (>=3.8).
- Tailored for use in a [Jupyter] notebook environment.
- Data and metadata should be stored in [xarray(https://docs.xarray.dev/en/stable/)]
Datasets
.- Intermediate operations using, e.g.,
numpy
orpandas
objects are fine, but the end user should only interact withDatasets
.
- Intermediate operations using, e.g.,
- Code should adhere to PEP8 style guide, and all functions should have docstrings.
- All functionality should have associated pytest tests.
- Unit tests of individual functions are found in
tests/unit_tests/
. Its directory structure and contents should mirror that ofsrc/kval
. - Tests of more complex functionality (e.g. processing pipelines using multiple modules) should be put in
tests/functional_tests/
. - A collection of sample data to be used in testing is found in
tests/test_data/
. Should aim to cover a wide range of input data, but we also don't want this to become too bulky - try to keep file size to a minimum.
- Unit tests of individual functions are found in
- All operations that modify data should be recorded in the file metadata.
- Wherever possibly, and at as early a stage as possible, all available useful metadata should be added to Datasets.
- Metadata formatting should adhere to CF and ACDD conventions, supplemented by:
- The project is maintained by the Oceanography section at the Norwegian Polar Institute.
- External contributions (pull requests, issues, whatever) are very welcome!
- We will attempt to follow the guidelines from the Scientific Python Library Development Guide.
- Releases will be published relatively often, whenever a new functionality has been added. Releases will be archived on zenodo and given a DOI.
Pull requests, issues, etc are very welcome!
[Something about branches here]
[Something about python style, test suite]
RELEASE NOTES
-
0.3.0 (CURRENT, released 16 April 2025):
- Refactoring of large parts of the code for structure, clarity and efficiency.
Complete reproducability and self-documentation in the CTD processing functionality.- Adding mooring processing functionality
Functionality for parsing moored CTD sensors (RBR and SBE)- Functionality for basic processing source file -> CF-NetCDF
Test suite (comprehensive but not entirely complete)Decluttering the repo bringing it down from its currently bloated state.- Started useful documentation with somenotebook examples (need a lot of work).
- Released to PyPi and conda-forge.
- Many other improvements and additions.
-
0.4.0 (PLANNED for spring 2025)
-
Complete (useful) documentation with good notebook examples of core functionality.
-
Expanded test suite for good coverage of basic functionality plus
-
Possibly:
- Parsing data from inductive loggers.
- Breaking out NPI-specific stuff (if there really is that much of it) to a sepåarate libraru, ´naust´.
-
0.0.2:
- Name change from
oceanograpy
tokval
. - Introduction of test suite.
- Other minor changes.
- Name change from
-
0.0.1:
- Initial release.
- Functionality tailored for CTD processing.
Footnotes
-
We aim to distribute this on conda-forge eventually. Since some dependent packages are not available there, we are using the anaconda.org NPIOcean channel for now. ↩